A cloud-based data gathering and processing system for intelligent demand forecasting

Author

Colin K. L. TAY, Singapore Management UniversityFollow
Kyong Jin SHIM, Singapore Management UniversityFollow

Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2018

Abstract

Demand forecasting has been a challenging problem especially for products with short life cycles such as electronic goods and fashion items. Additionally, in the presence of limited past or historical data as well as the need for fast turnaround for forecast, producing timely and accurate demand forecast can be extremely challenging. In this study, we describe a cloud-based data gathering and processing system for intelligent demand forecasting.

Keywords

Demand forecasting, web crawling, cloud-based data gathering, data engineering

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Publication

2018 IEEE International Conference on Big Data (Big Data): Seattle, WA, December 10-13: Proceedings

First Page

5451

Last Page

5453

ISBN

9781538650356

Identifier

10.1109/BigData.2018.8622546

Publisher

IEEE

City or Country

Piscataway, NJ

Citation

TAY, Colin K. L. and SHIM, Kyong Jin. A cloud-based data gathering and processing system for intelligent demand forecasting. (2018). 2018 IEEE International Conference on Big Data (Big Data): Seattle, WA, December 10-13: Proceedings. 5451-5453.
Available at: https://ink.library.smu.edu.sg/sis_research/4338

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1109/BigData.2018.8622546